I have a question regarding memory consumption. I have the 2GB Jetson Nano that seems to have all of its RAM consumed by the SSD detection network; so much so, that swap space is used.
What are some recommendations for decreasing the amount of memory used?
@AastaLLL Thanks for getting back to me. I am using ssd-mobilenet-v2 network–I followed the Jetson Inference re-train SSD network tutorial. What network is better for the 2GB version? I am running it using TensorRT.